Renewable energy performance analysis using fuzzy dynamic directional distance function model under natural and managerial disposability

• Published in: Applied energy 2023-12, Vol.352, p.121940, Article 121940
• Main Authors: Shabani, Mohadeseh, Kordrostami, Sohrab, Jahani Sayyad Noveiri, Monireh
• Format: Article
• Language: English
• Subjects: DEA; Energy efficiency; Fuzzy dynamic directional distance function (FDDDF); OECD countries; Renewable energy
• ISSN: 0306-2619
• DOI: 10.1016/j.apenergy.2023.121940

Addressing the dynamic performance aspects of processes and identifying the sources of inefficiency are key considerations for making informed decisions, especially in situations where imprecise data are available. This study aims to evaluate the performance of renewable energy using the Fuzzy Dynamic Directional Distance Function (FDDDF) model considering natural and managerial disposability for 34 OECD member countries. As a non-parametric methodology, Data Envelopment Analysis (DEA) is used to measure dynamic fuzzy environmental efficiencies of renewable energy through multiple fuzzy inputs and outputs. Using the proposed approach, optimistic, pessimistic and integrated renewable energy performances of entities with carry-overs are assessed for each period and generally. The empirical findings reveal that the proposed FDDDF approach has strong capability to discriminate the performance of renewable energy. •Evaluating the renewable energy performance using a fuzzy dynamic DDF model under natural and managerial disposability,•Proposing a fuzzy dynamic double frontier DDF approach for the assessment of the performance in each period and generally,•Analyzing the renewable energy dynamic efficiency of OECD countries with fuzzy measures,•Renewable energy efficiency improvement in OECD nations was mainly driven by policy support and environmental security,•There has been a gradual improvement in energy efficiency of countries under consideration during 2018–2020.